Yuhan Ding

University of Bologna, Jiangsu University

Papers

Total Citations

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About

Yuhan Ding is a researcher at the intersection of artificial intelligence and agricultural robotics, whose work bridges cutting-edge machine learning with practical solutions for labor-intensive farming. His primary research areas include computer vision enhancement, deep learning applications in intelligent robotics, and the mechanization of specialized agricultural tasks. Ding’s most impactful contribution, “Research on computer vision enhancement in intelligent robot based on machine learning and deep learning” (2021), has garnered 34 citations, establishing a foundation for how autonomous systems can perceive and interact with complex environments. More recently, he has turned his attention to a pressing agricultural challenge with “Development, Design, and Improvement of an Intelligent Harvesting System for Aquatic Vegetable Brasenia schreberi” (2025). This work addresses the critical lack of effective machinery for harvesting aquatic vegetables—a task currently reliant on manual labor, leading to high demand and labor shortages that stifle industry growth. By developing intelligent harvesting systems, Ding is directly tackling a bottleneck in agricultural productivity, demonstrating how robotics and AI can transform traditional farming sectors. His research not only advances theoretical understanding but also offers tangible solutions to real-world labor crises in specialty crop production.